A leading healthcare provider struggling with manual logistics and legacy EMR limitations required a digital transformation to scale operations. We engineered a custom ecosystem integrated with their core EMR (Central Reach) that automates the complex matching of patients to care providers. The solution introduced real-time algorithmic scheduling, web and mobile applications for both patients and care providers, administrative dashboards, and strict compliance checks.
While the client utilized an Electronic Medical Record (EMR) system, it lacked the agility required for dynamic field operations. The organization relied on a fragmented mix of Jira, Google Sheets, and manual phone calls, along with some basic automation, to manage logistics.
The key pain points were:
We moved beyond simple “app development” to create a fully interconnected ecosystem that acts as an intelligence layer on top of the core EMR.
We developed a weighted algorithm that allows instant scoring of the best provider for a patient based on critical factors such as driving distance, language preferences, patient history, automatic verification of insurance-required credentials per region, and more.
This approach not only ensures that we find the best-matching care provider for the patient but also resolves a number of operational issues. It is instrumental to our client’s commitment that every patient gets the best treatment as soon as possible. Even if a cancellation occurs 15 minutes before an appointment, the system instantly queries nearby, credentialed, and available providers to fill the gap. This allows our client to allocate as much of the care provider’s time as possible by dynamically and proactively matching them to open slots.
Furthermore, the system allows management to identify the problem of frequent last-minute cancellations and, conversely, reward care providers who have consistently provided good service.
By automating the complex logistics of care delivery, we transformed the client’s operational economics. Perhaps the most impactful result is that the client now handles their current volume with a scheduling team that is significantly smaller (up to 10x) than that of competitors of similar size.
The scheduling algorithm has resulted in a significant increase in revenue, as the automated re-scheduling of last-minute cancellations effectively reduced “dead air” and unbillable slots. From a compliance perspective, the system’s automated credential checks eliminated human error in assigning providers to insurance-specific cases, ensuring that every match was safe and compliant.
Ultimately, this reliability led to a boost in customer satisfaction. Patients experienced fewer disruptions and better continuity of care, while providers felt more supported by a system that matched them with cases that fit their specific skills and preferences.
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